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A Monte Carlo Study of Alternative Responses To Intraclass Correlation in Community Trials

Is It Ever Possible to Avoid Cornfield's Penalties?

University of Minnesota

Peter J. Hannan

University of Minnesota

William L. Baker

University of Minnesota

Strategies to avoid the penalties of extra variation and reduced degrees offreedom in community trials were compared in Monte Carlo simulations Three conditions were found necessary to ensure nominal Type I and II error rates: (a) Condition variation must be assessed against assignment unit variation, (b) the critical value for the test statistic must be based on the assignment unit degrees offreedom, and (c) estimation of negative intraclass correlations must be allowed in the analysis. Using other test statistics and other degrees of freedom, and fixing negative intraclass correlations at zero often gave Type I and II error rates far from their nominal levels.

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